As AI tech becomes more available, barriers of talent and resources mount

There are five AI priorities for CEOs: IT, infosec, innovation, customer service and risk, according to an IBM Institute for Business Value survey.

By Alex Hickey • Sept. 27, 2018

Why businesses must focus on intelligence augmentation over artificial intelligence

For tasks that do not require context and are easily repeatable, AI solutions can increase efficiency without introducing risk.

By Aaron Masih • Sept. 24, 2018

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Automation

In search of productivity gains, IT leaders are making automation their top priority. But successful enterprise AI deployments depend on access to the right data sets.

By CIO Dive staff

At Pinterest, AI implementations start small and add complexity over time

"There is no technology that's really useful if it cannot be explained with plain words," said Vanja Josifovski, CTO and VP of engineering at Pinterest.

By Naomi Eide • Sept. 24, 2018

Big tech is rolling out tools to counter AI bias. Is it enough?

There are three levels of failure for AI algorithms: integrity of data, integrity of algorithms and the decision-maker. These tools tackle the first two. 

By Alex Hickey • Sept. 21, 2018

Alibaba boosting AI and quantum hardware, SAP cloud partnership

Alibaba has established a chip subsidiary to work on embedded and customized AI chips for the company's cloud and IoT businesses.

By Alex Hickey • Sept. 20, 2018

Technology in action at TGI Fridays: No 'better use case than selling alcohol with AI'

By integrating AI in platforms and email campaigns, the restaurant chain was able to differentiate customers and tailor personal experiences at the bar. 

By Naomi Eide • Sept. 20, 2018

AI graduating from point solutions to enterprise-level systems

But the gap between AI pioneers and companies just experimenting or investigating the technology is widening. 

By Alex Hickey • Sept. 18, 2018

Increasing AI skills propelling enterprise innovation, LinkedIn finds

While immediate AI applications are having rippling impacts on industry, the web of complementary products and services has an even larger effect.

By Alex Hickey • Sept. 17, 2018

Sprechen Sie AI? How to cross language, cultural barriers in technology

As any language student who has ever copied and pasted a block of text into a translation program knows, pure machine translation is often fraught with error. 

By Alex Hickey • Sept. 12, 2018

AI chief Fei-Fei Li to scale back role at Google Cloud

Andrew Moore, dean of the School of Computer Science at Carnegie Mellon University, will fill Li's shoes as head of the AI and ML unit at the end of 2018.

By Alex Hickey • Sept. 11, 2018

Can AI predict candidate potential?

AI tools can find statistical correlations between applicant characteristics and all kinds of things that can happen in the workplace; theft, misconduct, injuries and absenteeism.

By Riia O'Donnell • Sept. 6, 2018

As Einstein expands its reach, Salesforce focuses on 'ethical and humane' technology

The push for accountability comes on the heels of a petition for the company to drop its contract with Customs and Border Protection.

By Alex Hickey • Aug. 31, 2018

It's a bird, it's a plane, it's ... coffee? IBM's drone project satisfies caffeine addictions

A coffee drone could be HR's dream or worst nightmare.

By Samantha Schwartz • Aug. 24, 2018

New York City beats out Silicon Valley for AI jobs

Postings for machine learning engineers, data scientists and computer vision engineer mentioned AI and ML the most.

By Alex Hickey • Aug. 23, 2018

Google fights rising data center power costs with AI

AI pulls a snapshot from sensors in the cooling system every five minutes and sends it to a deep neural network to help minimize energy consumption.

By Alex Hickey • Aug. 21, 2018

Gartner serves up 2018 Hype Cycle with a heavy side of AI

The Hype Cycle can serve as an early warning system for executives, and jumping on technologies in the two to five year range could pay big dividends down the road.

By Alex Hickey • Aug. 20, 2018

Salesforce takes ML library behind Einstein to open-source

Data scientists and developers are in-demand in tech today. Both jobs focus on improving different aspects of business operations, but AI and ML could greatly impact that.

By Samantha Schwartz • Aug. 17, 2018

Amazon is breaking down Alexa's language barriers

What's in a name? Amazon researchers are working on Alexa's ability to translate nouns in complex languages. 

By Samantha Schwartz • Aug. 10, 2018

Google makes accessible cloud, AI capabilities for hybrid environments

Intelligent communication and productivity tools, security controls and services, and data analysis tools rounded out Google Cloud Next announcements. 

By Alex Hickey • July 27, 2018

Process improvement — not cost savings — drive AI adoption

The use of robotics and artificial intelligence is an "inevitable evolution," and businesses who ignore it will quickly fall behind the curve. 

By Shefali Kapadia • July 26, 2018

America's in a cyberwar and 'I am not convinced we're winning,' former House intel chair says

There's a machine learning arms race taking place between system defenders and hackers, and the advantage boils down to who has the most training data.

By Alex Hickey • July 23, 2018

Accenture, Amazon partner on Alexa development

The consulting firm is expanding its collaboration with Amazon to help companies create new voice experiences for customers.

By Robert Williams • July 20, 2018

Watermarking AI models holds protection for theft, misuse

Just like embedding a word on top of a photograph, digital watermarking works by discreetly slipping a backdoor into a model — ideally without others realizing it is there.

By Alex Hickey • July 20, 2018

Is your company really ready for AI? Why proactive self-regulation makes sense

While transparency in AI is critical to preserving trust with consumers, "perverse" market incentives undermine the need for companies to proactively self-regulate and avoid problems down the road.

By Alex Hickey • July 19, 2018

UPS working to consolidate data points on single platform with analytics, machine learning

The company has been developing the predictive tool for months and will use it to analyze over 1 billion data points daily, including packages' metrics and customer data.

By Samantha Schwartz • July 19, 2018